2017
DOI: 10.1038/nature24284
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Association analysis identifies 65 new breast cancer risk loci

Abstract: Breast cancer risk is influenced by rare coding variants in susceptibility genes such as BRCA1 and many common, mainly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. We report results from a genome-wide association study (GWAS) of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry1. We identified 65 new loci associated with overall breast cancer at p<5x10-8. The majority of c… Show more

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Cited by 1,239 publications
(1,608 citation statements)
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“…72; rs2284063), breast cancer (ref. 116; rs738321), bladder cancer (ref. 117; rs1014971), and multiple myeloma (ref.…”
Section: Chronological History Of Glioma Risk Loci Discoverymentioning
confidence: 99%
“…72; rs2284063), breast cancer (ref. 116; rs738321), bladder cancer (ref. 117; rs1014971), and multiple myeloma (ref.…”
Section: Chronological History Of Glioma Risk Loci Discoverymentioning
confidence: 99%
“…Elsewhere, we report 65 new susceptibility loci for overall breast cancer 1 . Three of these are located within 500 kb of the new susceptibility loci for ER-negative disease reported here (variants rs200648189 (2p23.3), rs6569648 (6q23.1) and rs17350191 (8q24.13)).…”
mentioning
confidence: 99%
“… Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease 1 . We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin.…”
mentioning
confidence: 99%
“…1,3 Large-scale genotyping studies have also led to the identification of numerous low risk variants, predominantly consisting of single nucleotide polymorphisms in non-coding sequences. 4,5 Inherited mutations in other genes, such as RAD51C, RAD51D and BRIP1, and mismatch-repair (MMR) genes ( MLH1, MSH2, MSH6, PMS2, EPCAM ) that cause Lynch syndrome when mutated, also influence the risk of ovarian cancer. 6 These genetic discoveries have occurred alongside major advances in sequencing technology that has led to the introduction in the clinic of simultaneous testing of panels of selected multiple genes for hereditary breast and ovarian cancer predisposition.…”
Section: Introductionmentioning
confidence: 99%